Results 31 to 40 of about 108,936 (256)
In endangered donkey populations, reproductive performance is one the most important areas to study, provided its connection with conservation opportunities.
Ana Martins-Bessa +6 more
doaj +1 more source
Deviance information criterion (DIC) in Bayesian multiple QTL mapping [PDF]
Mapping multiple quantitative trait loci (QTL) is commonly viewed as a problem of model selection. Various model selection criteria have been proposed, primarily in the non-Bayesian framework. The deviance information criterion (DIC) is the most popular criterion for Bayesian model selection and model comparison but has not been applied to Bayesian ...
Daniel Shriner, Nengjun Yi
openaire +3 more sources
Variable selection in generalized random coefficient autoregressive models
In this paper, we consider the variable selection problem of the generalized random coefficient autoregressive model (GRCA). Instead of parametric likelihood, we use non-parametric empirical likelihood in the information theoretic approach. We propose an
Zhiwen Zhao, Yangping Liu, Cuixin Peng
doaj +1 more source
On uncertainty-penalized Bayesian information criterion
4 pages, 2 ...
Pongpisit Thanasutives, Ken-ichi Fukui
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Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
wiley +1 more source
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
On identifying the optimal number of population clusters via the deviance information criterion. [PDF]
Inferring population structure using bayesian clustering programs often requires a priori specification of the number of subpopulations, K, from which the sample has been drawn. Here, we explore the utility of a common bayesian model selection criterion,
Hong Gao +2 more
doaj +1 more source
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young +7 more
wiley +1 more source
Statistical Analysis of Displacement and Length Relation for Normal Faults in the Barents Sea
This paper is devoted to the statistical analysis of dependence between fault length (L) and displacement (D). The main purpose of this work is to study the scaling relations between fault length and displacement using a database that includes datasets ...
Dmitriy Kolyukhin +4 more
doaj +1 more source
Modeling and analysis of recovery time for the COVID-19 patients: a Bayesian approach
The ongoing pandemic of COVID-19 has changed every aspect of life. Most of the people who become a victim of COVID-19 experience mild to moderate symptoms, but some people may become seriously ill.
Kahkashan Ateeq +2 more
doaj +1 more source

